{"id":"https://openalex.org/W2532599850","doi":"https://doi.org/10.1109/nnsp.2003.1318004","title":"Hybrid protein model (HPM): a method for building a library of overlapping local structural prototypes. Sensitivity study and improvements of the training","display_name":"Hybrid protein model (HPM): a method for building a library of overlapping local structural prototypes. Sensitivity study and improvements of the training","publication_year":2004,"publication_date":"2004-10-19","ids":{"openalex":"https://openalex.org/W2532599850","doi":"https://doi.org/10.1109/nnsp.2003.1318004","mag":"2532599850"},"language":"en","primary_location":{"id":"doi:10.1109/nnsp.2003.1318004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2003.1318004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inserm.hal.science/inserm-00133639","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043996422","display_name":"Cristina Benros","orcid":null},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210113863","display_name":"G\u00e9nomique Bioinformatique et Applications","ror":"https://ror.org/0264vhs54","country_code":"FR","type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210113863","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C. Benros","raw_affiliation_strings":["Equipe de Bioinformatique G\u00e9nomique et Mol\u00e9culaire, INSERM E0346, Universit\u00e9 Paris 7, Paris, France"],"affiliations":[{"raw_affiliation_string":"Equipe de Bioinformatique G\u00e9nomique et Mol\u00e9culaire, INSERM E0346, Universit\u00e9 Paris 7, Paris, France","institution_ids":["https://openalex.org/I4210113863","https://openalex.org/I154526488","https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024376929","display_name":"Alexandre G. de Brevern","orcid":"https://orcid.org/0000-0001-7112-5626"},"institutions":[{"id":"https://openalex.org/I4210113863","display_name":"G\u00e9nomique Bioinformatique et Applications","ror":"https://ror.org/0264vhs54","country_code":"FR","type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210113863","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A.G. de Brevern","raw_affiliation_strings":["Equipe de Bioinformatique G\u00e9nomique et Mol\u00e9culaire, INSERM E0346, Universit\u00e9 Paris 7, Paris, France"],"affiliations":[{"raw_affiliation_string":"Equipe de Bioinformatique G\u00e9nomique et Mol\u00e9culaire, INSERM E0346, Universit\u00e9 Paris 7, Paris, France","institution_ids":["https://openalex.org/I4210113863","https://openalex.org/I154526488","https://openalex.org/I204730241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058605559","display_name":"S. Hazout","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210113863","display_name":"G\u00e9nomique Bioinformatique et Applications","ror":"https://ror.org/0264vhs54","country_code":"FR","type":"facility","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210113863","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Hazout","raw_affiliation_strings":["Equipe de Bioinformatique G\u00e9nomique et Mol\u00e9culaire, INSERM E0346, Universit\u00e9 Paris 7, Paris, France"],"affiliations":[{"raw_affiliation_string":"Equipe de Bioinformatique G\u00e9nomique et Mol\u00e9culaire, INSERM E0346, Universit\u00e9 Paris 7, Paris, France","institution_ids":["https://openalex.org/I4210113863","https://openalex.org/I154526488","https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043996422"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I204730241","https://openalex.org/I4210113863"],"apc_list":null,"apc_paid":null,"fwci":0.8441,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.71472246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11162","display_name":"Enzyme Structure and Function","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.626835823059082},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5516216158866882},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.5240716934204102},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.5097166895866394},{"id":"https://openalex.org/keywords/structural-genomics","display_name":"Structural genomics","score":0.4991109371185303},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.48646876215934753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4478764832019806},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4270564913749695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3369045555591583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32963865995407104},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3229360282421112},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17543303966522217},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12777510285377502},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07997781038284302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626835823059082},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5516216158866882},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.5240716934204102},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.5097166895866394},{"id":"https://openalex.org/C192772702","wikidata":"https://www.wikidata.org/wiki/Q2583975","display_name":"Structural genomics","level":3,"score":0.4991109371185303},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.48646876215934753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4478764832019806},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4270564913749695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3369045555591583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32963865995407104},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3229360282421112},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17543303966522217},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12777510285377502},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07997781038284302},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/nnsp.2003.1318004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2003.1318004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:inserm-00133639v1","is_oa":true,"landing_page_url":"https://inserm.hal.science/inserm-00133639","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Workshop on Neural Networks for Signal Processing","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:inserm-00133639v1","is_oa":true,"landing_page_url":"https://inserm.hal.science/inserm-00133639","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Workshop on Neural Networks for Signal Processing","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W69204516","https://openalex.org/W1965008830","https://openalex.org/W1965555277","https://openalex.org/W1966041739","https://openalex.org/W2008393730","https://openalex.org/W2010967250","https://openalex.org/W2029667189","https://openalex.org/W2035033944","https://openalex.org/W2060589515","https://openalex.org/W2082120777","https://openalex.org/W2100981947","https://openalex.org/W2106976556","https://openalex.org/W2112452502","https://openalex.org/W2112615307","https://openalex.org/W2116449290","https://openalex.org/W2125838338","https://openalex.org/W2135484509","https://openalex.org/W2150627302","https://openalex.org/W2151835253","https://openalex.org/W2156798505","https://openalex.org/W2170471837","https://openalex.org/W4245176872"],"related_works":["https://openalex.org/W2384478968","https://openalex.org/W1975122118","https://openalex.org/W2346580382","https://openalex.org/W2946599741","https://openalex.org/W2015390241","https://openalex.org/W2118652015","https://openalex.org/W2593264178","https://openalex.org/W2043066834","https://openalex.org/W3171039768","https://openalex.org/W2136856901"],"abstract_inverted_index":{"Predicting":[0],"protein":[1,52,67,90,103,173,197],"structure":[2,33,91,198],"from":[3,175,199],"amino":[4,201],"acid":[5,202],"sequence":[6],"is":[7,44,145],"one":[8,78],"of":[9,13,32,51,79,87,96,110,120,134,147,151,166],"the":[10,22,30,48,77,80,85,127,135,139,167,172,176,195,200],"main":[11],"challenges":[12],"genomics.":[14],"Various":[15],"computational":[16],"methods":[17],"have":[18],"been":[19],"developed":[20],"during":[21],"last":[23],"decade":[24],"to":[25,45,76,138],"reach":[26],"this":[27,39,116,121,179],"goal.":[28],"However,":[29],"problem":[31],"prediction":[34],"remains":[35],"difficult.":[36],"Before":[37],"facing":[38],"complex":[40],"problem,":[41],"our":[42,59],"goal":[43],"focus":[46],"on":[47],"accurate":[49],"analysis":[50],"structures":[53,174],"at":[54],"a":[55,72,88,94,107,131,148],"local":[56,128,160,196],"level.":[57],"In":[58],"study,":[60],"we":[61],"present":[62,114],"an":[63,118,182],"approach":[64],"called":[65],"\"hybrid":[66,102],"model\"":[68,104],"(HPM)":[69],"which":[70],"uses":[71],"training":[73,136],"procedure":[74],"similar":[75,159],"self-organizing":[81],"maps.":[82],"It":[83],"allows":[84],"compression":[86],"non-redundant":[89],"databank":[92],"into":[93],"library":[95,143,180],"overlapping":[97],"3D":[98],"structural":[99,111,152,168,187],"fragments.":[100,112],"The":[101,142],"carries":[105],"out":[106],"multiple":[108],"alignment":[109],"We":[113],"in":[115,126,171],"study":[117,133],"improvement":[119],"strategy":[122],"by":[123],"introducing":[124],"gaps":[125],"structures,":[129],"and":[130,191],"sensitivity":[132],"according":[137],"control":[140],"parameters.":[141],"obtained":[144],"composed":[146],"finite":[149],"number":[150],"classes,":[153],"each":[154],"class":[155],"including":[156],"fragments":[157],"sharing":[158],"structures.":[161],"These":[162],"classes":[163],"are":[164],"representative":[165],"motifs":[169],"found":[170],"databank.":[177],"Thus,":[178],"constitutes":[181],"efficient":[183],"tool":[184],"for":[185,193],"determining":[186],"similarities":[188],"between":[189],"proteins":[190],"especially":[192],"predicting":[194],"sequence.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}